Journal of Applied Structural Equation Modeling
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Published By Sarawak Research Society

2590-4221
Updated Friday, 09 April 2021

2021 ◽  
Vol 5 (1) ◽  
pp. i-xiv
Author(s):  
Mumtaz Ali Memon ◽  
T. Ramayah ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
Francis Chuah ◽  
...  

Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little is done to explain the attributes of the different PLS-SEM statistical applications. The objective of this editorial is to discuss a variety of PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing understanding and experience of using these applications. We hope this editorial can serve as a manual for users to understand the unique characteristics of each PLS-SEM application and make an informed decision on the most appropriate application in their research.


2021 ◽  
Vol 5 (1) ◽  
pp. 39-60
Author(s):  
Tang Kin Leong ◽  
Aik Nai Chiek ◽  
Choong Wei Lim

This study revises the existing UTAUT model and incorporates two additional variables, namely trust, and convenience. In addition, the literature on the mediating effect of trust and performance expectancy in Malaysia in the context of m-payment usage intention is still limited. This study also attempts to fill the knowledge gap and examine the mediating effect of trust and performance expectancy. A total of 393 usable questionnaires were collected in Malaysia and analyzed using IBM Amos version 23. The results show that convenience, trust, effort expectancy and performance expectancy are significant factors that influence the m-payment usage intention for Malaysians. Meanwhile, social influence is an insignificant factor. This study also revealed that both trust and performance expectancy plays a significant role to mediate between effort expectancy and m-payment usage intention.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Fahad Albejaidi

The aim of the current study was to investigate the mediating effect of an ethical climate on the relationship between organizational justice and workplace stress. The quantitative survey research design was used and cross-sectional data was collected. Structured questionnaires were distributed. The population of the study was nurses from the healthcare professionals working in the healthcare organizations in Qassim region. There are total of 5542 nurses working in different public and private healthcare organizations. Convenience sampling technique was used for selecting sample size. Total 510 completed questionnaires were collected back and used in the study for data analysis. For data analysis, AMOS-SEM was used. Measurement and structural models were developed and tested in the current study. Reliabilities and validities were investigated through the measurement model, while for hypotheses testing structural model was developed. Findings of the study indicated that the scale used in the study was found reliable and valid. Factor loadings, average variance extracted, and construct reliability met the threshold level/standard criteria. The structural model also revealed that ethical climate mediated the relationship between organizational justice and stress. This is the original work and contribution to the body of knowledge by extending the literature on justice, stress, and ethical climate. The presence of justice and ethical climate made it possible for employees to better manage their stress.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Job Ombiro Omweno ◽  
Albert Getabu ◽  
Paul Sagwe Orina ◽  
Simion Kipkemboi Omasaki ◽  
Wilfred Obwoge Zablon

Partial least squares (PLS) is a multivariate dimension reduction technique which is not based on ordinary regression assumptions. The use of PLS regression in life sciences is still a novel concept despite many scientific applications. This paper analyses the influence of physicochemical in the two fish species, Oreochromis jipe and Oreochromis niloticus to determine the cause for their growth difference in the same culture environment. The graphical display of the multi-parameter analysis was performed using a suite of open access R-software packages. The modeling hypothesis was assessed using experimental data collected for the period of 84 days. The findings revealed that significant linear relationship exists between water quality and mean weight of both O. jipe and O.niloticus fish species. Being a crucial study meant to provide baseline information to asses the aquaculture potential O. jipe, we recommend a further study to be conducted on several other predictor variables that can be measured under controlled aquaculture conditions.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Hazwan Mat Dina ◽  
Halimatus Sakdiah Minhata

The Anxiety about Aging Scale (AAS) is a questionnaire developed based on multidimensional aging anxiety to measure anxiety towards aging. However, the AAS constructs and items vary depending on the study population. This study aimed to explore the validity and reliability of AAS through evaluation of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) among youths in Malaysia. A cross-sectional was conducted among 1988 university and college students in Klang Valley, Malaysia, selected using stratified proportionate random sampling. EFA results suggested four factors solution based on the interpretation of Eigenvalues and scree plot with 59.11% variance extracted. Results of CFA supported the four-factor model of revised 17-item AAS with acceptable model fit indices and high factor loading. The revised 17-item AAS has good reliability through the assessment of the internal consistency of the items. In conclusion, the revised 17-item AAS measures four distinct factors is a valid and reliable questionnaire to measure anxiety towards aging among Malaysian youths


2020 ◽  
Vol 4 (2) ◽  
pp. 1-20
Author(s):  
Joseph N. Luchman ◽  
Xue Lei ◽  
Seth Kaplan

Conclusions regarding the relative importance of different independent variables in a statistical model have meaningful implications for theory and practice. However, methods for determining relative importance have yet to extend beyond statistical models with a single dependent variable and a limited set of multivariate models. To accommodate multivariate models, the current work proposes shifting away from the concept of independent variable relative importance toward that of parameter estimate relative importance (PERI). This paper illustrates the PERI approach by comparing it to the evaluation of regression slopes and independent variable relative importance (IVRI) statistics to show the interpretive and methodological advantages of the new concept and associated methods. PERI’s advantages above standardized slopes stem from the same fit metric that is used to compute PERI statistics; this makes them more comparable to one another than standardized slopes. PERI’s advantages over IVRI stem from situations where independent variables do not predict all dependent variables; hence, PERI permits importance determination in situations where independent variables are nested in dependent variables they predict. We also provide recommendations for implementing PERI using dominance analysis with statistical models that can be estimated with maximum likelihood estimation combined with a series of model constraints using two examples.


2020 ◽  
Vol 4 (2) ◽  
pp. 21-43
Author(s):  
Nasrul Fadhrullah Isa ◽  
Sharifah Nurafizah Syed Annuar ◽  
Imelda Albert Gisip ◽  
Nelson Lajuni

This study examines the factors affecting millennials and generation Z’s purchase intention in online shopping. The variables under investigation, namely, impulse purchase orientation, quality orientation, brand orientation, online trust, and online purchase experience, were tested. The data collection approach used a web-based questionnaire that was created and distributed to 584 university students in Malaysia. Data were analyzed via the Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach to examine the posited research hypotheses. The results revealed that impulse purchase orientation was the strongest predictor of consumers’ online purchase intention in Malaysia. This is followed by online trust, and the online purchase experience and quality orientation. Meanwhile, brand orientation did not affect customers’ intention to purchase online. The results contribute new and extensive inputs into the marketing theory and expand the emergent literature on consumer intention to shop online in Malaysia, whereby rich multi-ethnic cultures should be fully exploited. Future directions are offered.


2020 ◽  
Vol 4 (2) ◽  
pp. i-xx ◽  
Author(s):  
Mumtaz Ali Memon ◽  
Hiram Ting ◽  
Jun-Hwa Cheah ◽  
Ramayah Thurasamy ◽  
Francis Chuah ◽  
...  

Determining an appropriate sample size is vital in drawing realistic conclusions from research findings. Although there are several widely adopted rules of thumb to calculate sample size, researchers remain unclear about which one to consider when determining sample size in their respective studies. ‘How large should the sample be?’ is one the most frequently asked questions in survey research. The objective of this editorial is three-fold. First, we discuss the factors that influence sample size decisions. Second, we review existing rules of thumb related to the calculation of sample size. Third, we present the guidelines to perform power analysis using the G*Power programme. There is, however, a caveat: we urge researchers not to blindly follow these rules. Such rules or guidelines should be understood in their specific contexts and under the conditions in which they were prescribed. We hope that this editorial does not only provide researchers a fundamental understanding of sample size and its associated issues, but also facilitates their consideration of sample size determination in their own studies.


2020 ◽  
Vol 4 (2) ◽  
pp. 44-52
Author(s):  
Muhammad Zeeshan Mirza ◽  
Ahmad Shahrul Nizam Isha

Despite the fact that safety-specific transformational leadership had been reported to have favorable outcomes on workplace safety, there is limited work on identifying its role in decreasing occupational accidents at workplace. The current study looks to fill this void by proposing safety-specific leadership approach to combat occupational accidents via safety climate. Data were collected from 270 production workers of Oil and Gas Industry across four states of Malaysia. Results showed strong support for our suppositions. Safety climate mediated the relationship between safety-specific leadership and occupational accidents. The supposition linking safety-specific transformational leadership to safety climate and safety climate to occupational accidents also found considerable support. The results are discussed in the light of previous literature and the contributions made by the study.


2020 ◽  
Vol 4 (1) ◽  
pp. 91-109
Author(s):  
Ehiremen Clement Osunde

This theory’s model was driven by the need to empirically establish the possibility of smallholder’s in the Nigerian palm fruit value chain to compete with large-scale actors. Thereby, capturing a share of the consumer income which would promote sustainability. To achieve it, a theory submitted. Within this model, nineteen conceptual relationships were proposed to be contributors in the palm fruit value addition chain. A PLS-SEM technique was used to investigate the validity of these relationships. The primary data used for the investigation was surveyed from extension agents in Edo South agro-ecological zone of Edo State Nigeria. First, the article introduced the term Value Chain Theory. Next, it briefly familiarizes the readers with what structural equation modeling is all about, as well as its applications. Subsequently, the document preview literature on the pathways towards modeling a sustainable smallholder’s palm fruit’s value chain. Afterward, the researcher creates the path model for the drive of the investigation. Following that, the author ensured that the methodological approaches adopted in achieving the investigation were clearly specified. After which the results from the analysis ran were serially outlined and discussed. Last, but not least, the implications for the use of this model was highlighted and conclusion for the study was drawn. Thus, the author commended the robustness of the theory and, afterward, proposed a confirmatory test for the model. It was concluded that the tool exhibits prospects for promoting sustainability in the palm fruit value supply chain if properly adopted.


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